2 code implementations • 23 Mar 2022 • David Layden, Guglielmo Mazzola, Ryan V. Mishmash, Mario Motta, Pawel Wocjan, Jin-Sung Kim, Sarah Sheldon
Here we introduce a quantum algorithm to sample from distributions that pose a bottleneck in several applications, which we implement on a superconducting quantum processor.
no code implementations • 16 Oct 2019 • Giacomo Torlai, Guglielmo Mazzola, Giuseppe Carleo, Antonio Mezzacapo
The measurement precision of modern quantum simulators is intrinsically constrained by the limited set of measurements that can be efficiently implemented on hardware.
Quantum Physics Disordered Systems and Neural Networks Strongly Correlated Electrons
no code implementations • 4 Oct 2019 • Guglielmo Mazzola, Pauline Ollitrault, Panagiotis Barkoutsos, Ivano Tavernelli
We introduce a quantum Monte Carlo inspired reweighting scheme to accurately compute energies from optimally short quantum circuits.
Quantum Physics Statistical Mechanics Computational Physics
1 code implementation • 29 Mar 2019 • Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E. T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng-Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Alexander Wietek
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques.
Quantum Physics Disordered Systems and Neural Networks Strongly Correlated Electrons Computational Physics Data Analysis, Statistics and Probability
